<html><head><title>Data Engineer, Sales - San Francisco, CA 94103</title></head>
<body><h2>Data Engineer, Sales - San Francisco, CA 94103</h2>
Job Description<br/>
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<p>As a Sales Data Engineer, you will build and maintain foundational data infrastructure essential to driving Square’s revenue growth and accelerating seller acquisition. You will work closely with Sales Strategy &amp; Operations, Business Intelligence, Data Science, and Platform Engineering teams to build best-in-class data pipelines and processes that stitch together complex sets of data stores and drive large investment decisions. Your work will have a direct impact on hundreds of stakeholders at Square.</p><p>
You will:</p><ul><li><p>
Be the expert on end-to-end data flow for Sales and related teams</p></li><li><p>
Design, build, and maintain critical data pipelines to ensure highly accurate and reliable business reporting</p></li><li><p>
Monitor daily execution, diagnose and log issues, and fix business critical pipelines to ensure SLAs are met with internal stakeholders</p></li><li><p>
Bridge gap between business requirements and ETL logic by troubleshooting data discrepancies and implementing scalable solutions</p></li><li><p>
Make data model and ETL code improvements to improve pipeline efficiency and data quality</p></li><li><p>
Own data import/export pipelines and incorporate into existing workflows to enable reporting and optimization efforts</p></li><li><p>
Work with Sales Strategy &amp; Operations to own, improve, and maintain all sales data infrastructure, including compensation, metrics, and ad-hoc reporting and analysis</p></li></ul>

Qualifications<br/>
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<p>You have:</p><ul><li><p>
2-4 years experience in a data engineering or business intelligence role supporting Marketing or Sales organizations</p></li><li><p>
Expertise in SQL, especially within cloud-based data warehouses like Snowflake, Google BigQuery, and Amazon Redshift</p></li><li><p>
Experience with ETL scheduling technologies with dependency checking, such as Airflow, as well as schema design and dimensional data modeling</p></li><li><p>
Experience with Python, ability to work with numpy, pandas and sklearn libraries is a plus</p></li><li><p>
Experience with Linux/OSX command line version control software (git)</p></li><li><p>
Strong business intuition and ability to understand complex business systems, data architecture, and software design patterns</p></li><li><p>
Excellent communication skills, particularly when explaining technical matters to less technical co-workers</p></li><li><p>
Experience with Salesforce data infrastructure is a plus</p></li><li><p>
Experience with Tableau and Looker data visualization technologies is a plus</p></li><li><p>
BS degree in Engineering, Computer Science, Math or a related technical field</p></li></ul><br/>
Additional Information<br/>
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At Square, our purpose is to empower – within and outside of our walls. In order to build the best tools for the businesses and customers we support all over the world, we have to start at home with a workforce as diverse and empowered as our sellers. To this end, we take great care to evaluate all employees and job applicants equally, based on merit, competence, and qualifications. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage candidates from all backgrounds to apply and always consider qualified applicants with arrest and conviction records, in accordance with the San Francisco Fair Chance Ordinance. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)squareup.com. We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible. Perks At Square, we want you to be well and thrive. Our global benefits package includes: Healthcare coverage, Retirement Plans, Employee Stock Purchase Program, Meal reimbursements, Wellness perks, Paid parental leave, Flexible time off, Learning and Development resources</body>
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